Skip to main content
Top
Published in: Population Health Metrics 1/2018

Open Access 01-12-2018 | Research

Alcohol-impaired driving in US counties, 2002–2012

Authors: Jacob E. Sunshine, Laura Dwyer-Lindgren, Alan Chen, Sam R. Sharar, Erin B. Palmisano, Eileen M. Bulger, Ali H. Mokdad

Published in: Population Health Metrics | Issue 1/2018

Login to get access

Abstract

Background

Excessive alcohol consumption and alcohol-impaired driving remain significant public health problems, leading to considerable morbidity and mortality, particularly among younger populations.

Methods

Using data from the Behavioral Risk Factor Surveillance System (BRFSS), we employed a small areas modeling strategy to estimate the county-level annual prevalence of alcohol-impaired driving in every United States county for the years 2002 through 2012, the latest year in which county identifiers were publicly available.

Results

Alcohol-impaired driving episodes declined from 157.0 million in 2002 (prevalence 3.8%: 95% uncertainty interval [UI], 3.7%–4.0%) to 129.7 million in 2012 (prevalence 3.7%: 95% UI, 3.5%–3.8%), a 17.4% decline. There is considerable variation in the prevalence of alcohol-impaired driving at the county level, ranging from 2.0% in the Sitka City Borough of Alaska to 9.3% in Nance County, Nebraska. Clusters of increased alcohol-impaired driving were observed in Northern Wisconsin (Marinette, Florence, Forest, Vilas, Oneida, Iron counties), North Dakota (Cavalier, Pembina, Walsh, Ramsey, Nelson, Benson, Eddy counties) and Montana (Sheridan, Daniels, Roosevelt, Valley, Phillips, Petroleum, Garfield counties).

Conclusions

This study showed guarded progress with respect to the occurrence of alcohol-impaired driving episodes in the US from 2002 to 2012. Because these data rely on self-report, this likely represents an underestimate of the true prevalence of alcohol-impaired driving in the US. As the US continues to have several million episodes of alcohol-impaired driving each month, renewed efforts are needed to mitigate this high-risk health behavior.
Literature
1.
go back to reference National Highway Traffic Safety Administration and US Department of Transportation. Motor vehicle traffic crashes as a leading cause of death in the United States, 2012–2014; 2016. p. 1–6. National Highway Traffic Safety Administration and US Department of Transportation. Motor vehicle traffic crashes as a leading cause of death in the United States, 2012–2014; 2016. p. 1–6.
2.
go back to reference National Highway Traffic Safety Administration and US Department of Transportation. Early estimate of motor vehicle traffic fatalities for the first half (Jan–Jun) of 2016; 2016. p. 1–2. National Highway Traffic Safety Administration and US Department of Transportation. Early estimate of motor vehicle traffic fatalities for the first half (Jan–Jun) of 2016; 2016. p. 1–2.
3.
go back to reference Peden M, Scurfield R, Sleet DA, et al. World report on road traffic injury prevention; 2004. p. 1–244. Peden M, Scurfield R, Sleet DA, et al. World report on road traffic injury prevention; 2004. p. 1–244.
4.
go back to reference National Highway Traffic Safety Administration and US Department of Transportation. Traffic safety facts; 2015. p. 1–7. National Highway Traffic Safety Administration and US Department of Transportation. Traffic safety facts; 2015. p. 1–7.
5.
go back to reference Híjar M, Flores M, López MV, Rosovsky H. Alcohol intake and severity of injuries on highways in Mexico: a comparative analysis. Addiction. 1998;93(10):1543–51.CrossRefPubMed Híjar M, Flores M, López MV, Rosovsky H. Alcohol intake and severity of injuries on highways in Mexico: a comparative analysis. Addiction. 1998;93(10):1543–51.CrossRefPubMed
6.
go back to reference National Center for Statistics and Analysis. Alcohol- impaired driving: 2014 data; 2015. p. 1–7. National Center for Statistics and Analysis. Alcohol- impaired driving: 2014 data; 2015. p. 1–7.
7.
go back to reference Liu S, Siegel PZ, Brewer RD, Mokdad AH, Sleet DA, Serdula M. Prevalence of alcohol-impaired driving. Results from a national self-reported survey of health behaviors. JAMA. 1997;277(2):122–5.CrossRefPubMed Liu S, Siegel PZ, Brewer RD, Mokdad AH, Sleet DA, Serdula M. Prevalence of alcohol-impaired driving. Results from a national self-reported survey of health behaviors. JAMA. 1997;277(2):122–5.CrossRefPubMed
8.
go back to reference Jewett A, Shults RA, Banerjee T, Bergen G. Alcohol-impaired driving among adults - United States, 2012. MMWR Morb Mortal Wkly Rep. 2015;64(30):814–7.CrossRefPubMed Jewett A, Shults RA, Banerjee T, Bergen G. Alcohol-impaired driving among adults - United States, 2012. MMWR Morb Mortal Wkly Rep. 2015;64(30):814–7.CrossRefPubMed
9.
go back to reference United States Department of Justice, Federal Bureau of Investigation. (September 2015). Crime in the United States, 2014. (Accessed 3 Nov 2016, at https://www. fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2014/crime-in-the-u.s.- 2014/tables/table-29). United States Department of Justice, Federal Bureau of Investigation. (September 2015). Crime in the United States, 2014. (Accessed 3 Nov 2016, at https://​www.​ fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2014/crime-in-the-u.s.- 2014/tables/table-29).
10.
go back to reference Mokdad AH. The behavioral risk factors surveillance system: past, present, and future. Annu Rev Public Health. 2009;30:43–54.CrossRefPubMed Mokdad AH. The behavioral risk factors surveillance system: past, present, and future. Annu Rev Public Health. 2009;30:43–54.CrossRefPubMed
11.
go back to reference Behavioral Risk Factor Surveillance System, 2012: United States. Summary Data Quality Report, 2013:1–21. Behavioral Risk Factor Surveillance System, 2012: United States. Summary Data Quality Report, 2013:1–21.
12.
go back to reference Lumley T. Survey: analysis of complex survey samples. R Package Version 3.32. 2016;3:31–2. Lumley T. Survey: analysis of complex survey samples. R Package Version 3.32. 2016;3:31–2.
13.
go back to reference Dwyer-Lindgren L, Mackenbach JP, van Lenthe FJ, Flaxman AD, Mokdad AH. Diagnosed and undiagnosed diabetes prevalence by county in the US, 1999–2012. Diabetes Care. 2016;39(9):1556–62.CrossRefPubMed Dwyer-Lindgren L, Mackenbach JP, van Lenthe FJ, Flaxman AD, Mokdad AH. Diagnosed and undiagnosed diabetes prevalence by county in the US, 1999–2012. Diabetes Care. 2016;39(9):1556–62.CrossRefPubMed
14.
go back to reference Leroux BG, Lei X, Breslow N. Estimation of disease rates in small areas: a new mixed model for spatial dependence. In: Statistical models in epidemiology, the environment, and clinical trials. New York: Springer-Verlag; 2000. p. 179–91.CrossRef Leroux BG, Lei X, Breslow N. Estimation of disease rates in small areas: a new mixed model for spatial dependence. In: Statistical models in epidemiology, the environment, and clinical trials. New York: Springer-Verlag; 2000. p. 179–91.CrossRef
15.
go back to reference Knorr-Held L. Bayesian modeling of inseparable space-time variation in disease risk. Stat Med. 2000;19:2555–67.CrossRefPubMed Knorr-Held L. Bayesian modeling of inseparable space-time variation in disease risk. Stat Med. 2000;19:2555–67.CrossRefPubMed
16.
go back to reference Kristensen K, Nielsen A, Berg CW, Skaug H, Bell BM. TMB: automatic differentiation and Laplace approximation. J Stat Softw. 2016;70(5):1–21.CrossRef Kristensen K, Nielsen A, Berg CW, Skaug H, Bell BM. TMB: automatic differentiation and Laplace approximation. J Stat Softw. 2016;70(5):1–21.CrossRef
17.
go back to reference R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016. R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016.
18.
go back to reference Rehm J, Baliunas D, Borges GLG, et al. The relation between different dimensions of alcohol consumption and burden of disease: an overview. Addiction. 2010;105(5):817–43.CrossRefPubMedPubMedCentral Rehm J, Baliunas D, Borges GLG, et al. The relation between different dimensions of alcohol consumption and burden of disease: an overview. Addiction. 2010;105(5):817–43.CrossRefPubMedPubMedCentral
19.
go back to reference Corrao G, Rubbiati L, Bagnardi V, Zambon A, Poikolainen K. Alcohol and coronary heart disease: a meta-analysis. Addiction. 2000;95(10):1505–23.CrossRefPubMed Corrao G, Rubbiati L, Bagnardi V, Zambon A, Poikolainen K. Alcohol and coronary heart disease: a meta-analysis. Addiction. 2000;95(10):1505–23.CrossRefPubMed
20.
go back to reference Rehm J, Taylor B, Mohapatra S, et al. Alcohol as a risk factor for liver cirrhosis: a systematic review and meta-analysis. Drug Alcohol Rev. 2010;29(4):437–45.CrossRefPubMed Rehm J, Taylor B, Mohapatra S, et al. Alcohol as a risk factor for liver cirrhosis: a systematic review and meta-analysis. Drug Alcohol Rev. 2010;29(4):437–45.CrossRefPubMed
21.
go back to reference Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med. 2004;38(5):613–9.CrossRefPubMed Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med. 2004;38(5):613–9.CrossRefPubMed
22.
go back to reference Patra J, Taylor B, Irving H, et al. Alcohol consumption and the risk of morbidity and mortality for different stroke types--a systematic review and meta-analysis. BMC Public Health. 2010;10:258.CrossRefPubMedPubMedCentral Patra J, Taylor B, Irving H, et al. Alcohol consumption and the risk of morbidity and mortality for different stroke types--a systematic review and meta-analysis. BMC Public Health. 2010;10:258.CrossRefPubMedPubMedCentral
24.
go back to reference Kool B, Ameratunga S, Robinson E, Crengle S, Jackson R. The contribution of alcohol to falls at home among working-aged adults. Alcohol. 2008;42(5):383–8.CrossRefPubMed Kool B, Ameratunga S, Robinson E, Crengle S, Jackson R. The contribution of alcohol to falls at home among working-aged adults. Alcohol. 2008;42(5):383–8.CrossRefPubMed
25.
go back to reference Consumption of Alcoholic Beverages. Lyon, France: International Agency for Research on Cancer; 2012. Consumption of Alcoholic Beverages. Lyon, France: International Agency for Research on Cancer; 2012.
26.
go back to reference Moyer VA, Force PST. Screening and behavioral counseling interventions in primary care to reduce alcohol misuse: US preventive services task force recommendation statement. Ann Intern Med. 2013;159(3):210–8.PubMed Moyer VA, Force PST. Screening and behavioral counseling interventions in primary care to reduce alcohol misuse: US preventive services task force recommendation statement. Ann Intern Med. 2013;159(3):210–8.PubMed
27.
go back to reference Quinlan KP, Brewer RD, Siegel P, et al. Alcohol-impaired driving among US adults, 1993–2002. Am J Prev Med. 2005;28(4):346–50.CrossRefPubMed Quinlan KP, Brewer RD, Siegel P, et al. Alcohol-impaired driving among US adults, 1993–2002. Am J Prev Med. 2005;28(4):346–50.CrossRefPubMed
28.
go back to reference Williams SB, Whitlock EP, Edgerton EA, Smith PR, Beil TL. US preventive services task force. Counseling about proper use of motor vehicle occupant restraints and avoidance of alcohol use while driving: a systematic evidence review for the US preventive services task force. Ann Intern Med. 2007;147(3):194–206.CrossRefPubMed Williams SB, Whitlock EP, Edgerton EA, Smith PR, Beil TL. US preventive services task force. Counseling about proper use of motor vehicle occupant restraints and avoidance of alcohol use while driving: a systematic evidence review for the US preventive services task force. Ann Intern Med. 2007;147(3):194–206.CrossRefPubMed
29.
go back to reference Rotondo M, Cribari C, Smith RS. In: Rotondo M, Cribari C, Smith RS, editors. Resources for optimal Care of the Injured Patient; 2014. p. 1–221. Rotondo M, Cribari C, Smith RS. In: Rotondo M, Cribari C, Smith RS, editors. Resources for optimal Care of the Injured Patient; 2014. p. 1–221.
30.
go back to reference Zatzick D, Donovan DM, Jurkovich G, et al. Disseminating alcohol screening and brief intervention at trauma centers: a policy-relevant cluster randomized effectiveness trial. Addiction. 2014;109(5):754–65.CrossRefPubMedPubMedCentral Zatzick D, Donovan DM, Jurkovich G, et al. Disseminating alcohol screening and brief intervention at trauma centers: a policy-relevant cluster randomized effectiveness trial. Addiction. 2014;109(5):754–65.CrossRefPubMedPubMedCentral
31.
go back to reference Schermer CR, Moyers TB, Miller WR, Bloomfield LA. Trauma center brief interventions for alcohol disorders decrease subsequent driving under the influence arrests. J Trauma Inj Infect Crit Care. 2006;60(1):29–34.CrossRef Schermer CR, Moyers TB, Miller WR, Bloomfield LA. Trauma center brief interventions for alcohol disorders decrease subsequent driving under the influence arrests. J Trauma Inj Infect Crit Care. 2006;60(1):29–34.CrossRef
33.
go back to reference World Health Organization. Global status report on road safety 2015. Geneva, Switzerland: World Health Organization Press; 2015. World Health Organization. Global status report on road safety 2015. Geneva, Switzerland: World Health Organization Press; 2015.
34.
go back to reference Tung GJ, Vernick JS, Stuart EA, et al. Federal actions to incentivise state adoption of 0.08 g/dL blood alcohol concentration laws. Inj Prev. 2017;23:309-13. Tung GJ, Vernick JS, Stuart EA, et al. Federal actions to incentivise state adoption of 0.08 g/dL blood alcohol concentration laws. Inj Prev. 2017;23:309-13.
35.
go back to reference Killoran A, Canning U, Doyle N, Sheppard L. Review of effectiveness of laws limiting blood alcohol concentration levels to reduce alcohol-related road injuries and deaths; 2010. p. 1–184. Killoran A, Canning U, Doyle N, Sheppard L. Review of effectiveness of laws limiting blood alcohol concentration levels to reduce alcohol-related road injuries and deaths; 2010. p. 1–184.
36.
go back to reference Shults RA, Elder RW, Sleet DA, et al. Reviews of evidence regarding interventions to reduce alcohol-impaired driving. Am J Prev Med. 2001;21(4 Suppl):66–88.CrossRefPubMed Shults RA, Elder RW, Sleet DA, et al. Reviews of evidence regarding interventions to reduce alcohol-impaired driving. Am J Prev Med. 2001;21(4 Suppl):66–88.CrossRefPubMed
37.
go back to reference Scribner RA, Cohen DA, Fisher W. Evidence of a structural effect for alcohol outlet density: a multilevel analysis. Alcoholism Clin Exp Res. 2000;24(2):188–95.CrossRef Scribner RA, Cohen DA, Fisher W. Evidence of a structural effect for alcohol outlet density: a multilevel analysis. Alcoholism Clin Exp Res. 2000;24(2):188–95.CrossRef
38.
go back to reference Campbell CA, Hahn RA, Elder R, et al. The effectiveness of limiting alcohol outlet density as a means of reducing excessive alcohol consumption and alcohol-related harms. Am J Prev Med. 2009;37(6):556–69.CrossRefPubMed Campbell CA, Hahn RA, Elder R, et al. The effectiveness of limiting alcohol outlet density as a means of reducing excessive alcohol consumption and alcohol-related harms. Am J Prev Med. 2009;37(6):556–69.CrossRefPubMed
39.
go back to reference Brazil N, Kirk DS. Uber and metropolitan traffic fatalities in the United States. Am J Epidemiol. 2016;184(3):192–8.CrossRefPubMed Brazil N, Kirk DS. Uber and metropolitan traffic fatalities in the United States. Am J Epidemiol. 2016;184(3):192–8.CrossRefPubMed
40.
go back to reference Fahimi M, Link M, Schwartz DA, Levy P, Mokdad A. Tracking chronic disease and risk behavior prevalence as survey participation declines: statistics from the Behavioral Risk Factor Surveillance System and other national surveys. Prev Chronic Dis 2008;5(3). Fahimi M, Link M, Schwartz DA, Levy P, Mokdad A. Tracking chronic disease and risk behavior prevalence as survey participation declines: statistics from the Behavioral Risk Factor Surveillance System and other national surveys. Prev Chronic Dis 2008;5(3).
Metadata
Title
Alcohol-impaired driving in US counties, 2002–2012
Authors
Jacob E. Sunshine
Laura Dwyer-Lindgren
Alan Chen
Sam R. Sharar
Erin B. Palmisano
Eileen M. Bulger
Ali H. Mokdad
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2018
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/s12963-018-0158-4

Other articles of this Issue 1/2018

Population Health Metrics 1/2018 Go to the issue